Friday, May 4th at 11:00 a.m., Prof. Yuguang “Michael” Fang, Department of Electrical and Computer Engineering, University of Florida and fellow of the IEEE, will be presenting a communications seminar: “Beef Up the Edge, How to Build a More Powerful IOT System”. Day & Time: Friday, May 4, 2018 11:00 a.m. ‐ 12:00 p.m. Speaker: Prof. Yuguang “Michael” Fang Department of Electrical and Computer Engineering, University of Florida Fellow of the IEEE Location: Room Number: ENG460 George Vari Engineering and Computing Centre 245 Church Street., Toronto, ON M5B 2K3 Contact: Eman Hammad Organizer: Communications Society, Ryerson University Abstract: Connected things in various cyber-physical systems (CPSs), namely IoTs, enable us to sense physical environments, extract intelligent information, and better regulate physical systems we heavily depend on in our daily life. Unfortunately, how to design effective and efficient systems to meet specific applications with diverse quality of service requirements is of paramount importance but highly challenging due to the spatial and temporal variations of user traffic, network spectrum resource, computing capability, storage, and device types. One holistic design approach from the end-to-end perspective seems to be in dire need. In this talk, the speaker will discuss various related problems and challenges in a connected world and then present a novel collaborative network architecture to enabling connected things to effectively harvest in-network capability (spectrum, energy, storage, and computing power) in a cognitive fashion and intelligently manage the spectrum efficiency, energy efficiency, and yes, security! By pushing in-network capability in communications, computing, and storage to the edge, this network architecture provides an effective and robust approach to IoT. Biography: Dr. Yuguang “Michael” Fang received MS degree from Qufu Normal University, Shandong, China in 1987, PhD degree from Case Western Reserve University in 1994 and PhD degree from Boston University in 1997. He was an assistant professor in Department of Electrical and Computer Engineering at New Jersey Institute of Technology from 1998 to 2000. He then joined the Department of Electrical and Computer Engineering at University of Florida in 2000 and has been a full professor since 2005. He held a University of Florida Research Foundation (UFRF) Professorship (2006-2009, 2017-2020), a University of Florida Term Professorship (2017-2019) and Changjiang Scholar Chair Professorship awarded by the Ministry of Education of China (is currently affiliated with Dalian Maritime University). Dr. Fang received the US National Science Foundation Career Award in 2001 and the Office of Naval Research Young Investigator Award in 2002, 2015 IEEE Communications Society CISTC Technical Recognition Award, 2014 IEEE Communications Society WTC Recognition Award, and multiple Best Paper Awards from IEEE Globecom (2015, 2011 and 2002) and IEEE ICNP (2006). He has also received 2010-2011 UF Doctoral Dissertation Advisor/Mentoring Award, 2011 Florida Blue Key/UF Homecoming Distinguished Faculty Award, and the 2009 UF College of Engineering Faculty Mentoring Award. He was the Editor-in-Chief of IEEE Transactions on Vehicular Technology (2013-2017), the Editor-in-Chief of IEEE Wireless Communications (2009-2012), and serves/served on several editorial boards of journals including IEEE Transactions on Mobile Computing (2003-2008, 2011-2016), IEEE Transactions on Communications (2000-2011), and IEEE Transactions on Wireless Communications (2002-2009). He has been actively participating in conference organizations such as serving as the Technical Program Co-Chair for IEEE INFOCOM’2014 and the Technical Program Vice-Chair for IEEE INFOCOM’2005. He is a fellow of the IEEE (2008) and a fellow of the American Association for the Advancement of Science (AAAS) (2015).

Friday, May 4th at 1:00 p.m., Prof. Yi Qian, professor in the Department of Electrical and Computer Engineering, University of Nebraska‐Lincoln will be presenting a distinguished lecture: “Advances and Challenges in 5G Wireless Security”. Day & Time: Friday, May 4, 2018 1:00 p.m. ‐ 2:00 p.m. Speaker: Prof. Yi Qian Dept. of Electrical & Computer Engineering University of Nebraska‐Lincoln, USA Location: Room Number: ENG LG02 George Vari Engineering and Computing Centre 245 Church Street., Toronto, ON M5B 2K3 Contact: Eman Hammad Organizer: Communications Society, Ryerson University Abstract: Wireless communication technologies are ubiquitous nowadays. Most of the smart devices have Cellular, Wi‐Fi, Bluetooth connections. These technologies have been developed for many years; nonetheless, they are still being enhanced. More development can be expected in the next 5 years, such as faster transmission data rate, more efficient spectrum usage, lower power consumption, etc. Similarly, cellular networks have been evolved for several generations. For example, GSM as part of 2G family, UMTS as part of the 3G family, and LTE as part of 4G family. In the next few years, 5G cellular network systems will continue the evolution to keep up with the fast‐growing needs of customers. Secure wireless communications will certainly be part of other advances in the industry such as multimedia streaming, data storage and sharing in clouds, mobile cloud computing services, etc. This talk covers the topics on security for next generation mobile wireless networks, with focusing on 5G mobile wireless network systems, followed by a discussion on the challenges and open research issues in the area. Biography: Dr. Yi Qian received a Ph.D. degree in electrical engineering from Clemson University. He is a professor in the Department of Electrical and Computer Engineering, University of Nebraska‐Lincoln (UNL). Prior to joining UNL, he worked in the telecommunications industry, academia, and the government. Some of his previous professional positions include serving as a senior member of scientific staff and a technical advisor at Nortel Networks, a senior systems engineer and a technical advisor at several start‐up companies, an assistant professor at University of Puerto Rico at Mayaguez, and a senior researcher at National Institute of Standards and Technology. His research interests include information assurance and network security, network design, network modeling, simulation and performance analysis for next generation wireless networks, wireless ad‐hoc and sensor networks, vehicular networks, smart grid communication networks, broadband satellite networks, optical networks, high‐speed networks and the Internet. He has a successful track record to lead research teams and to publish research results in leading scientific journals and conferences. Dr. Yi Qian is a member of ACM and a senior member of IEEE. He is serving on the editorial board for several international journals and magazines, including serving as the Associate Editor‐in‐Chief for IEEE Wireless Communications Magazine. He is a Distinguished Lecturer for IEEE Vehicular Technology Society and IEEE Communications Society. He is serving as the Technical Program Committee Chair for IEEE International Conference on Communications 2018.

Monday, May 7th at 3:00 p.m., Dr. Giorgio Quer, Sr. Research Scientist at the Scripps Research Institute and Director of Artificial Intelligence at the Scripps Translational Science Institute will be presenting a distinguished lecture: “Machine Learning in Digital Medicine”. Day & Time: Monday, May 7, 2018 3:00 p.m. ‐ 4:00 p.m. Speaker: Dr. Giorgio Quer Sr. Research Scientist, Scripps Research Institute, San Diego, California Director of Artificial Intelligence, Scripps Translational Science Institute Senior Member of the IEEE, Distinguished Lecturer for the IEEE Communications society Location: Room BA1210 Bahen Centre for Information Technology 40 St George St., Toronto, ON M5S 2E4 Contact: Eman Hammad Organizer: Communications Society Abstract: Digitalize human beings using biosensors to track our complex physiologic system, process the large amount of data generated with artificial intelligence (AI) and change clinical practice towards individualized medicine: these are the goals of digital medicine. At Scripps, we promote a strong collaboration between computer scientist, engineers, and clinical researchers, as well as a direct partnership with health industry leaders. We propose new solutions to analyze large longitudinal data using statistical learning and deep convolutional neural networks to address different cardiovascular health issues. Among them, one of the greatest contributors to premature morbidity and mortality worldwide is hypertension. It is known that lowering blood pressure (BP) by just a few mmHg can bring substantial clinical benefits, but the assessment of the “true” BP for an individual is non-trivial, as the individual BP can fluctuate significantly. We analyze a large dataset of more than 16 million BP measurements taken at home with commercial BP monitoring devices, in order to unveil the BP patterns and provide insights on the clinical relevance of these changes. Another prevalent health issue we investigated is atrial fibrillation (AFib), one of the most common sustained cardiac arrhythmia, which is associated with stroke, hospitalization, heart failure and coronary artery disease. AFib detection from single-lead electrocardiography (ECG) recordings is still an open problem, as AFib events may be episodic and the signal noisy. We conduct a thoughtful analysis of recent deep network architectures developed in the computer vision field, redesigned to be suitable for a one-dimensional signal, and we evaluate their performance for the AFib detection problem using 200 thousand seconds of ECG recording, highlighting the potential of this technology. Looking to the future, we are investigating new applications of existing wearable devices, requiring advanced processing and clinical validation, and we are participating to the All of Us research program, an unprecedented research effort to gather data from one million people in the USA to accelerate the advent of precision medicine. Biography: Dr. Giorgio Quer is a Sr. Research Scientist at the Scripps Research Institute in San Diego, California, and he is the Director of Artificial Intelligence at the Scripps Translational Science Institute. He received the B.Sc. degree, the M.Sc. degree (with honors) in Telecommunications Engineering and the Ph.D. degree (2011) in Information Engineering from University of Padova, Italy. In 2007, he was a visiting researcher at the Centre for Wireless Communication at the University of Oulu, Finland. During his Ph.D., he proposed a solution for the distributed compression of wireless sensor networks signals, based on the joint exploitation of Compressive Sensing and Principal Component Analysis. From 2010 to 2017, he was a visiting scholar at the California Institute for Telecommunications and Information Technology and then a postdoc at the Qualcomm Institute, University of California San Diego (UCSD), working on cognitive networks protocols and implementation. He is a Senior Member of the IEEE, a member of the American Heart Association (AHA), and a Distinguished Lecturer for the IEEE Communications society. His research interests include wireless sensor networks, network optimization, compressive sensing, probabilistic models, deep convolutional networks, wearable sensors, physiological signal processing, and digital medicine.